Beating the AI Doom Cycle

Today on the AI Daily Brief, we're discussing the AI doom cycle and how we can move out of doom desperation into a place of enlightened excitement. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. Alright, friends. Quick announcements before we dive in. First of all, thank you to today's sponsors, KPMG, Blitsy, Assembly and Section. To get an ad free version of the show, go to patreon.com/aidailybrief, or you can subscribe on Apple Podcasts. If you wanna learn more about sponsoring the show, send us a note at sponsors@aidailybrief.ai. Last two things. First of all, I have an open job for a growth engineer. This person doesn't have to be pre AI technical, but you do have to be a master of Claude code or codex and really interested in value added ways to grow this audience by doing cool stuff for them. Again, you can find that at jobs dot a I daily brief dot a I. And lastly, we are registering for cohort three of Enterprise Claw. You can find that at enterpriseclaw.ai. Final note, today's episode is one extended episode instead of it split between headlines and main. Turned out all the headlines fit in the context of the main, but I'm sure we'll be back with our normal format tomorrow. Welcome back to the AI Daily Brief. As I was preparing the show, I noticed that a lot of the stories that people have been discussing over the weekend and the ones that I wanted to cover had, in a strange way, a relationship to each other that was worth exploring, not because they were directly related, but because they were all part of something that I've been thinking about for a while, which as of this episode, I am calling the AI doom cycle. Today, I wanna explore what the doom cycle is, why different types of people in different contexts fall in different parts of it, and how I think we can get to the far side of it, which I believe is the healthiest place from which to actually engage with the big questions around AI, whether it's policy or something else. Now you guys probably recognize the inspiration for this, which is, of course, Gartner's famous technology hype cycle chart. The idea of the hype cycle chart is that new technologies tend to, in their argument, follow a pattern as they diffuse throughout society. It kicks off with an innovation trigger, the sparks of that new thing that becomes available, surges up to what they call the peak of inflated expectations. This is the very top of the hype cycle when everyone's excited about a thing. It often comes with big capital injections in the form of venture capital and investment. It's the part of the curve where a big chunk of people are convinced that this new thing is the new thing that's gonna change everything. The peak of …